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19-10-2019 | Original Paper

Adolescent Risk and Protective Factors Predicting Triple Trajectories of Substance Use from Adolescence into Adulthood

Auteurs: Jung Yeon Lee, Wonkuk Kim, Judith S. Brook, Stephen J. Finch, David W. Brook

Gepubliceerd in: Journal of Child and Family Studies | Uitgave 2/2020

Abstract

Objectives

Since the number of individuals who use substances in the United States has markedly increased every year, substance use is a significant public health concern. The current study examines the possible risk and protective factors associated with triple comorbid trajectories of longitudinal alcohol, tobacco, and cannabis use from age 14 to 36.

Methods

A community sample of 674 participants (53% African Americans and 47% Puerto Ricans; 60% females) were recruited from the Harlem Longitudinal Development Study. Multinomial logistic regression analyses were conducted to examine the associations between the risk (low self-control, peer drug use) and protective (parent-child attachment, family church attendance) factors at age 14 and membership in the triple trajectory groups derived from a multivariate growth mixture model.

Results

Low self-control and peer drug use were associated with an increased likelihood of being a member in the triple comorbid trajectory groups compared to the reference group (i.e., low alcohol, no tobacco, and no cannabis use). On the other hand, parent-child attachment and family church attendance were associated with a decreased likelihood of being a member in the triple comorbid trajectory groups compared to the reference group.

Conclusions

Treatment programs for adolescents who use substances may be more helpful if their parents and/or friends could also participate together with the adolescent, rather than only the adolescent participates in the treatment programs. Further research is needed to gain a greater understanding of the conceptual nature of the relationship between earlier risk and protective factors and later substance use patterns.

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Agrawal, A., Scherrer, J. F., Grant, J. D., Sartor, C. E., Pergadia, M. L., Duncan, A. E., & Bucholz, K. K. (2010). The effects of maternal smoking during pregnancy on offspring outcomes. Preventive Medicine, 50(1), 13–18. https://doi.org/10.1016/j.ypmed.2009.12.009.CrossRefPubMed

Asbridge, M., Hayden, J. A., & Cartwright, J. L. (2012). Acute cannabis consumption and motor vehicle collision risk: systematic review of observational studies and meta-analysis. BMJ, 344, e536. https://doi.org/10.1136/bmj.e536.CrossRefPubMedPubMedCentral

Beaver, K. M., Al-Ghamdi, M. S., Kobeisy, A. N., Alqurashi, F. H., Schwartz, J. A., Connolly, E. J., & Gajos, J. M. (2016). The effects of low self-control and delinquent peers on alcohol, tobacco, and drug use in a sample of Saudi Arabian youth. International Journal of Offender Therapy and Comparative Criminology, 60(13), 1569–1587. https://doi.org/10.1177/0306624X15583670.CrossRefPubMed

Bouchery, E. E., Harwood, H. J., Sacks, J. J., Simon, C. J., & Brewer, R. D. (2011). Economic costs of excessive alcohol consumption in the US, 2006. American Journal of Preventive Medicine, 41(5), 516–524. https://doi.org/10.1016/j.amepre.2011.06.045.CrossRefPubMed

Brook, J. S., Brook, D. W., Gordon, A. S., Whiteman, M., & Cohen, P. (1990). The psychological etiology of adolescent drug use: a family interactional approach. Genetic, Social, and General Psychology Monographs, 116, 111–267.PubMed

Brook, J. S., Lee, J. Y., Brown, E. N., & Finch, S. J. (2012a). Comorbid trajectories of tobacco and marijuana use as related to psychological outcomes. Substance Abuse, 33(2), 156–167. https://doi.org/10.1080/08897077.2011.640202.CrossRefPubMed

Brook, J. S., Lee, J. Y., Finch, S. J., & Brown, E. N. (2012b). The association of externalizing behavior and parent–child relationships: an intergenerational study. Journal of Child and Family Studies, 21(3), 418–427.CrossRefPubMed

Brook, J. S., Lee, J. Y., Rubenstone, E., Brook, D. W., & Finch, S. J. (2014). Triple comorbid trajectories of tobacco, alcohol, and marijuana use as predictors of antisocial personality disorder and generalized anxiety disorder among urban adults. American Journal of Public Health, 104(8), 1413–1420. https://doi.org/10.2105/AJPH.2014.301880.CrossRefPubMedPubMedCentral

Centers for Disease Control and Prevention (2008). Alcohol-related disease impact (ARDI). Atlanta, GA: Author.

de Ridder, D. T., Lensvelt-Mulders, G., Finkenauer, C., Stok, F. M., & Baumeister, R. F. (2012). Taking stock of self-control: A meta-analysis of how trait self-control relates to a wide range of behaviors. Personality and Social Psychology Review, 16(1), 76–99. https://doi.org/10.1177/1088868311418749.CrossRefPubMed

Dick, D. M., & Agrawal, A. (2008). The genetics of alcohol and other drug dependence. Alcohol Research & Health, 31(2), 111.

Farmer, R. F., Seeley, J. R., Kosty, D. B., Gau, J. M., Duncan, S. C., Lynskey, M. T., & Lewinsohn, P. M. (2015). Internalizing and externalizing psychopathology as predictors of cannabis use disorder onset during adolescence and early adulthood. Psychology of Addictive Behaviors, 29(3), 541–551. https://doi.org/10.1037/adb0000059.CrossRefPubMedPubMedCentral

Franken, A., Moffitt, T. E., Steglich, C. E., Dijkstra, J. K., Harakeh, Z., & Vollebergh, W. A. (2016). The role of self-control and early adolescents’ friendships in the development of externalizing behavior: the SNARE study. Journal of Youth and Adolescence, 45(9), 1800–1811. https://doi.org/10.1007/s10964-015-0287-z.CrossRefPubMed

Friedmann, P. D. (2013). Alcohol use in adults. New England Journal of Medicine, 368(4), 365–373. https://doi.org/10.1056/NEJMcp1204714.CrossRefPubMed

Goldman, D., Oroszi, G., & Ducci, F. (2006). The genetics of addictions: uncovering the genes. Focus, 6(3), 521–415.

Gottfredson, M. R., & Hirschi, T. (1990). A general theory of crime. Palo Alto, CA: Stanford University Press.

Gray, T. R., Eiden, R. D., Leonard, K. E., Connors, G. J., Shisler, S., & Huestis, M. A. (2010). Identifying prenatal cannabis exposure and effects of concurrent tobacco exposure on neonatal growth. Clinical Chemistry, 56(9), 1442–1450. https://doi.org/10.1373/clinchem.2010.147876.CrossRefPubMedPubMedCentral

Harrison, L, Martin, S, Enev, T., & Harrington, D. (2007). Comparing drug testing and self-report of drug use among youths and young adults in the general Studies. Rockville, MD: Substance Abuse and Mental Health Services Administration, Office of Applied Studies.

Hawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992). Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: implications for substance abuse prevention. Psychological Bulletin, 112(1), 64.CrossRefPubMed

Hoffmann, J. P., & Bahr, S. J. (2014). Parenting style, religiosity, peer alcohol use, and adolescent heavy drinking. Journal of Studies on Alcohol and Drugs, 75(2), 222–227.CrossRefPubMed

Jackson, K. M., Sher, K. J., & Schulenberg, J. E. (2008). Conjoint developmental trajectories of young adult substance use. Alcoholism: Clinical and Experimental Research, 32(5), 723–737. https://doi.org/10.1111/j.1530-0277.2008.00643.x.CrossRef

Jamal, A., Homa, D. M., O’Connor, E., Babb, S. D., Caraballo, R. S., Singh, T., & King, B. A. (2015). Current cigarette smoking among adults—United States, 2005–2014. MMWR Morbidity Mortality Wkeely Report, 64(44), 1233–1240. https://doi.org/10.15585/mmwr.mm6444a2.CrossRef

Johnston, L. D., O'Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2012). Monitoring the future national results on adolescent drug use: Overview of key findings, 2011. Bethesda, MD: National Institues of Health.

Karila, L., Roux, P., Rolland, B., Benyamina, A., Reynaud, M., Aubin, H.-J., & Lançon, C. (2014). Acute and long-term effects of cannabis use: a review. Current Pharmaceutical Design, 20(25), 4112–4118. https://doi.org/10.2174/13816128113199990620.CrossRefPubMed

Khavari, K. A., & Harmon, T. M. (1982). The relationship between the degree of professed religious belief and use of drugs. International Journal of the Addictions, 17(5), 847–857. https://doi.org/10.3109/10826088209056331.CrossRefPubMed

Lee, J.Y., Brook, J.S., De La Rosa, M., Kim, Y., & Brook, D.W. (2017). The association between alcohol use trajectories from adolescence to adulthood and cannabis use disorder in adulthood: a 22-year longitudinal study. The American Journal of Drug and Alcohol Abuse, 1–7. https://doi.org/10.1080/00952990.2017.1288734 CrossRefPubMedPubMedCentral

McCabe, S. E., Morales, M., Cranford, J. A., Delva, J., McPherson, M. D., & Boyd, C. J. (2007). Race/ethnicity and gender differences in drug use and abuse among college students. Journal of Ethnicity in Substance Abuse, 6(2), 75–95. https://doi.org/10.1300/J233v06n02_06.CrossRefPubMedPubMedCentral

Muthén, L., & Muthén, B. (2010). Mplus user’s guide. 6th ed. Los Angeles, CA: Muthén & Muthén.

Newman, K., Harrison, L., Dashiff, C., & Davies, S. (2008). Relationships between parenting styles and risk behaviors in adolescent health: an integrative literature review. Revista Latino-Americana De Enfermagem, 16(1), 142–150. https://doi.org/10.1590/S0104-11692008000100022.CrossRefPubMed

NIDA. (2014). NIH: National Instutute on Drug Abuse. Research report series marijuana. https://www.drugabuse.gov/drugs- abuse/marijuana. Accessed 26 May 2016 (Accession No. 15-3859).

Pokhrel, P., Unger, J. B., Wagner, K. D., Ritt-Olson, A., & Sussman, S. (2008). Effects of parental monitoring, parent–child communication, and parents’ expectation of the child’s acculturation on the substance use behaviors of urban, Hispanic adolescents. Journal of Ethnicity in Substance Abuse, 7(2), 200–213. https://doi.org/10.1080/15332640802055665.CrossRefPubMed

Rehm, J., Gmel, G., Sempos, C. T., & Trevisan, M. (2003). Alcohol-related morbidity and mortality. Alcohol Research & Health, 27(1), 39–51.

Substance Abuse and Mental Health Services Administration, (SAMHSA) (2014). Results from the 2013 national survey on drug use and health: summary of national findings (Vol. NSDUH series H-49, HHS publication no. (SMA) 14–4887). Rockville, MD: Author.

Substance Abuse and Mental Health Services Adminstration, (SAMHSA) (2015). Behavioral health trends in the United States: results from the 2014 national survey on drug use and health. Rockville, MD: Author.

Sanchez‐Roige, S., Fontanillas, P., Elson, S. L., Me Research, T., Gray, J. C., de Wit, H., & Palmer, A. A. (2019). Genome‐wide association study of alcohol use disorder identification test (AUDIT) scores in 20 328 research participants of European ancestry. Addiction Biology, 24(1), 121–131.CrossRefPubMed

Schulenberg, J. E., Merline, A. C., Johnston, L. D., O’Malley, P. M., Bachman, J. G., & Laetz, V. B. (2005). Trajectories of marijuana use during the transition to adulthood: the big picture based on national panel data. Journal of Drug Issues, 35(2), 255–280.CrossRefPubMedPubMedCentral

Warren, J. R., Luo, L., Halpern-Manners, A., Raymo, J. M., & Palloni, A. (2015). Do different methods for modeling age-graded trajectories yield consistent and valid results? American Journal of Sociology, 120(6), 1809–1856. https://doi.org/10.1086/681962.CrossRef

Wills, T. A., Knight, R., Williams, R. J., Pagano, I., & Sargent, J. D. (2015). Risk factors for exclusive e-cigarette use and dual e-cigarette use and tobacco use in adolescents. Pediatrics, 135(1), e43–e51. https://doi.org/10.1542/peds.2014-0760.CrossRefPubMedPubMedCentral

Xu, X., Bishop, E. E., Kennedy, S. M., Simpson, S. A., & Pechacek, T. F. (2015). Annual healthcare spending attributable to cigarette smoking: an update. American Journal of Preventive Medicine, 48(3), 326–333. https://doi.org/10.1016/j.amepre.2014.10.012.CrossRefPubMed

Yankey, B. N., Strasser, S., & Okosun, I. S. (2016). A cross-sectional analysis of the association between marijuana and cigarette smoking with metabolic syndrome among adults in the United States. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 10(2), S89–S95. https://doi.org/10.1016/j.dsx.2016.03.001.CrossRef

Titel: Adolescent Risk and Protective Factors Predicting Triple Trajectories of Substance Use from Adolescence into Adulthood
Auteurs: Jung Yeon Lee
Wonkuk Kim
Judith S. Brook
Stephen J. Finch
David W. Brook
Publicatiedatum: 19-10-2019
Uitgeverij: Springer US
Gepubliceerd in: Journal of Child and Family Studies / Uitgave 2/2020
Print ISSN: 1062-1024
Elektronisch ISSN: 1573-2843
DOI: https://doi.org/10.1007/s10826-019-01629-9

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